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arxiv 2503.11958 v1 pith:V3QXQWHO submitted 2025-03-15 cs.CV cs.AIcs.LGcs.RO

CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts

Chong Su , Yingbin Fu , Zheyuan Hu , Jing Yang , Param Hanji , Shaojun Wang , Xuan Zhao , Cengiz \"Oztireli
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Fangcheng Zhong
This is my paper
classification cs.CV cs.AIcs.LGcs.RO
keywords chordindoorscenefloorlayoutscoherentcollision-freedigital
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We introduce CHOrD, a novel framework for scalable synthesis of 3D indoor scenes, designed to create house-scale, collision-free, and hierarchically structured indoor digital twins. In contrast to existing methods that directly synthesize the scene layout as a scene graph or object list, CHOrD incorporates a 2D image-based intermediate layout representation, enabling effective prevention of collision artifacts by successfully capturing them as out-of-distribution (OOD) scenarios during generation. Furthermore, unlike existing methods, CHOrD is capable of generating scene layouts that adhere to complex floor plans with multi-modal controls, enabling the creation of coherent, house-wide layouts robust to both geometric and semantic variations in room structures. Additionally, we propose a novel dataset with expanded coverage of household items and room configurations, as well as significantly improved data quality. CHOrD demonstrates state-of-the-art performance on both the 3D-FRONT and our proposed datasets, delivering photorealistic, spatially coherent indoor scene synthesis adaptable to arbitrary floor plan variations.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. HomeWorld: A Unified Floorplan-to-Furnished Framework for Generating Controllable, Densely Interactive Whole-Home Scenes

    cs.CV 2026-06 unverdicted novelty 6.0

    A hierarchical pipeline generates controllable whole-home 3D scenes from floorplans via LLMs, image models, and VLMs, releasing 300K floorplans and 5K scenes for embodied AI use.

  2. PhyMix: Towards Physically Consistent Single-Image 3D Indoor Scene Generation with Implicit--Explicit Optimization

    cs.CV 2026-04 unverdicted novelty 6.0

    PhyMix unifies a new multi-aspect physics evaluator with implicit policy optimization and explicit test-time correction to produce single-image 3D indoor scenes that are both visually faithful and physically plausible.

  3. Geometry-Editable and Appearance-Preserving Object Compositon

    cs.CV 2025-05 unverdicted novelty 4.0

    DGAD disentangles geometry editing via semantic embeddings from appearance preservation via cross-attention retrieval inside diffusion models for object composition.

  4. Text-Driven 3D Indoor Scene Synthesis in Non-Manhattan Environments

    cs.AI 2026-07 unverdicted novelty 3.0

    SPG-Layout combines statistical object priors with hierarchical large-object-first placement to produce physically plausible text-driven 3D scenes in non-Manhattan rooms and outperforms baselines on a new 500-scene benchmark.